Objective  To investigate the medication and compatibility patterns of traditional Chinese medicine (TCM) compound patents in the treatment of epilepsy through data mining research.

Methods  Data on TCM compound patents for treating epilepsy were retrieved from the China National Intellectual Property Administration's patent publication website. Descriptive analysis, association rule analysis, and cluster analysis were conducted using softwares such as Excel, Origin 2021, R 4.3.1 and Cytoscape 3.9.1, and the relevant topological property values were calculated to construct the core complex network.

Results  A total of 346 TCM compound patents for treating epilepsy were included, involving 738 different herbs. The top 5 frequently used herbs were Acorus tatarinowii, Gastrodia elata, Buthus martensii, Eupolyphaga seu steleophaga, and Uncaria rhynchophylla. The predominant drug category was liver-soothing and wind-extinguishing drugs. Cluster analysis identified two major categories of drug combinations, and the core combination in the co-occurrence network was Rhizoma acori tatarinowii-Scorpio-Gastrodiae rhizoma-Bombyx batryticatus-Uncariae ramulus cum uncis. A total of 23 association rules were obtained.

Conclusion  This study reveals the primary characteristics of treating epilepsy, which mainly focus on therapeutic directions such as soothing the liver and suppressing wind, calming wind to arrest convulsions, and calming the mind to tranquilize the spirit. It incorporates individualized dialectical diagnostic and treatment strategies, such as promoting blood circulation and resolving stasis, invigorating the spleen, and transforming phlegm. This discovery aims to provide reference and reference value for the clinical treatment of epilepsy in traditional Chinese medicine.

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